Diego Marescotti

1.1k total citations
29 papers, 848 citations indexed

About

Diego Marescotti is a scholar working on Molecular Biology, Oncology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Diego Marescotti has authored 29 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Diego Marescotti's work include Carcinogens and Genotoxicity Assessment (5 papers), Molecular Biology Techniques and Applications (5 papers) and Cell Image Analysis Techniques (5 papers). Diego Marescotti is often cited by papers focused on Carcinogens and Genotoxicity Assessment (5 papers), Molecular Biology Techniques and Applications (5 papers) and Cell Image Analysis Techniques (5 papers). Diego Marescotti collaborates with scholars based in Switzerland, Italy and Sweden. Diego Marescotti's co-authors include Julia Hoeng, Manuel C. Peitsch, Maria G. Masucci, Stefano Gastaldello, Ramakrishna Sompallae, Siamak A. Kamranvar, Stefan Frentzel, Emmanuel Guedj, Anita R. Iskandar and Florian Martin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Diego Marescotti

29 papers receiving 807 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diego Marescotti Switzerland 15 240 231 218 175 166 29 848
Dragica Jorgovanović Serbia 6 284 1.2× 70 0.3× 370 1.7× 34 0.2× 94 0.6× 7 933
Nicole Brown United States 16 827 3.4× 115 0.5× 216 1.0× 97 0.6× 15 0.1× 29 1.3k
Jared A. Mereness United States 17 282 1.2× 67 0.3× 34 0.2× 61 0.3× 77 0.5× 25 626
Ruth Heise Germany 20 249 1.0× 42 0.2× 127 0.6× 57 0.3× 20 0.1× 43 1.0k
Tomomi Yajima Japan 16 531 2.2× 106 0.5× 164 0.8× 176 1.0× 10 0.1× 29 819
Kathryn Smart United Kingdom 15 259 1.1× 34 0.1× 480 2.2× 37 0.2× 59 0.4× 23 1.1k
Lucy A. Barrett United States 13 223 0.9× 64 0.3× 122 0.6× 87 0.5× 67 0.4× 18 709
Chanchal Sadhu United States 17 551 2.3× 25 0.1× 146 0.7× 89 0.5× 91 0.5× 31 1.2k
Xintong Chen China 14 400 1.7× 63 0.3× 64 0.3× 76 0.4× 10 0.1× 68 881

Countries citing papers authored by Diego Marescotti

Since Specialization
Citations

This map shows the geographic impact of Diego Marescotti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Diego Marescotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Marescotti more than expected).

Fields of papers citing papers by Diego Marescotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Marescotti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Diego Marescotti. The network helps show where Diego Marescotti may publish in the future.

Co-authorship network of co-authors of Diego Marescotti

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Marescotti. A scholar is included among the top collaborators of Diego Marescotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego Marescotti. Diego Marescotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Marescotti, Diego, et al.. (2022). AI-driven laboratory workflows enable operation in the age of social distancing. SLAS TECHNOLOGY. 27(3). 195–203. 10 indexed citations
2.
Sciuscio, Davide, Elyette Martin, Diego Marescotti, et al.. (2022). Toxicological Assessment of Flavor Ingredients in E-Vapor Products. SHILAP Revista de lepidopterología. 4. 878976–878976. 5 indexed citations
3.
Marescotti, Diego, Giuseppe Lo Sasso, Diego Guerrera, et al.. (2021). Development of an Advanced Multicellular Intestinal Model for Assessing Immunomodulatory Properties of Anti-Inflammatory Compounds. Frontiers in Pharmacology. 12. 639716–639716. 19 indexed citations
4.
Bovard, David, Kasper Renggli, Diego Marescotti, et al.. (2021). Impact of aerosols on liver xenobiotic metabolism: A comparison of two methods of exposure. Toxicology in Vitro. 79. 105277–105277. 5 indexed citations
5.
Giralt, Albert, Anita R. Iskandar, Florian Martin, et al.. (2020). Comparison of the biological impact of aerosol of e-vapor device with MESH® technology and cigarette smoke on human bronchial and alveolar cultures. Toxicology Letters. 337. 98–110. 12 indexed citations
6.
Gijzen, Linda, Diego Marescotti, Arnaud Nicolas, et al.. (2020). An Intestine-on-a-Chip Model of Plug-and-Play Modularity to Study Inflammatory Processes. SLAS TECHNOLOGY. 25(6). 585–597. 73 indexed citations
7.
Marescotti, Diego, David Bovard, Karsta Luettich, et al.. (2020). In Vitro High-Content Imaging-Based Phenotypic Analysis of Bronchial 3D Organotypic Air–Liquid Interface Cultures. SLAS TECHNOLOGY. 25(3). 247–252. 4 indexed citations
8.
Marescotti, Diego, Carole Mathis, Vincenzo Belcastro, et al.. (2019). Systems toxicology assessment of a representative e-liquid formulation using human primary bronchial epithelial cells. Toxicology Reports. 7. 67–80. 15 indexed citations
9.
10.
Bovard, David, Karsta Luettich, Stefan Frentzel, et al.. (2018). A lung/liver-on-a-chip platform for acute and chronic toxicity studies. Lab on a Chip. 18(24). 3814–3829. 142 indexed citations
11.
12.
Toorn, Marco van der, Alain Sewer, Diego Marescotti, et al.. (2018). The biological effects of long-term exposure of human bronchial epithelial cells to total particulate matter from a candidate modified-risk tobacco product. Toxicology in Vitro. 50. 95–108. 25 indexed citations
13.
González-Suárez, Ignacio, Diego Marescotti, Florian Martin, et al.. (2017). In Vitro Systems Toxicology Assessment of Nonflavored e-Cigarette Liquids in Primary Lung Epithelial Cells. 3(1). 41–55. 21 indexed citations
14.
Iskandar, Anita R., Ignacio González-Suárez, Shoaib Majeed, et al.. (2016). A framework for in vitro systems toxicology assessment of e-liquids. Toxicology Mechanisms and Methods. 26(6). 392–416. 63 indexed citations
15.
Kogel, Ulrike, Yu‐Tao Xiang, Philippe A. Guy, et al.. (2015). Biological impact of cigarette smoke compared to an aerosol produced from a prototypic modified risk tobacco product on normal human bronchial epithelial cells. Toxicology in Vitro. 29(8). 2102–2115. 31 indexed citations
16.
Coppotelli, Giuseppe, et al.. (2011). High Avidity Binding to DNA Protects Ubiquitylated Substrates from Proteasomal Degradation. Journal of Biological Chemistry. 286(22). 19565–19575. 12 indexed citations
17.
Lattanzi, Laura, Carmela Rozera, Diego Marescotti, et al.. (2010). IFN-α boosts epitope cross-presentation by dendritic cells via modulation of proteasome activity. Immunobiology. 216(5). 537–547. 38 indexed citations
18.
Marescotti, Diego, Federica Destro, Anna Baldisserotto, et al.. (2009). Characterization of an human leucocyte antigen A2‐restricted Epstein–Barr virus nuclear antigen‐1‐derived cytotoxic T‐lymphocyte epitope. Immunology. 129(3). 386–395. 9 indexed citations
19.
Baroni, Marcello, Giulia Pavani, Diego Marescotti, et al.. (2009). Membrane binding and anticoagulant properties of protein S natural variants. Thrombosis Research. 125(2). e33–e39. 9 indexed citations
20.
Preta, Giulio, Diego Marescotti, Cinzia Fortini, et al.. (2008). Inhibition of Serine‐Peptidase Activity Enhances the Generation of a Survivin‐Derived HLA‐A2‐Presented CTL Epitope in Colon‐Carcinoma Cells. Scandinavian Journal of Immunology. 68(6). 579–588. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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